
trading-bot
by pskrunner14 (personal account)
Stock Trading Bot using Deep Q-Learning (description from the project’s GitHub page)
Repository facts
- Stars
- 1,189
- Forks
- 357
- Open issues and pull requests
- 16
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- pskrunner14 · Personal account
- Created
- Aug 13, 2018
- Last push
- Dec 3, 2023
Topics
Add this badge to your README
Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/github/pskrunner14--trading-bot/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/github/pskrunner14--trading-bot/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/pskrunner14--trading-bot.svg" alt="Ranked #5,460 in AI on GitHub" height="20"></a>
Related projects
Projects that share this one’s GitHub topics.
Rank 3,173: AminHP/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
2,386 starsPythonMITLast push Mar 14, 2024
Rank 4,003: LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
1,787 starsJupyter NotebookMITLast push Mar 1, 2024
Rank 2,580: letianzj/QuantResearch
Quantitative analysis, strategies and backtests
3,046 starsJupyter NotebookMITLast push Aug 26, 2023
Rank 6,731: sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
862 starsJupyter NotebookNo license file detectedLast push Oct 7, 2020
Rank 8,017: cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
659 starsPythonMITLast push Mar 17, 2024
Rank 8,455: MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
607 starsPythonMITLast push Oct 28, 2020